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Found 6,676 Skills
Make an evidence-based hiring decision and produce a Candidate Evaluation Decision Pack (criteria + scorecard, signal log, work sample/trial plan + rubric, reference check script + summary, decision memo). Use for candidate evaluation, hiring decisions, reference checks, work samples/take-homes, and hiring bar calibration. Category: Hiring & Teams.
Build an Energy Management Operating System Pack (energy drivers/drains map, calendar energy audit, zone-of-genius expansion plan, energy-aligned weekly schedule, recovery routines, and 2-week experiments). Use for sustainable leadership performance and burnout prevention. Category: Leadership.
Create a Brand Storytelling Pack (brand narrative, founder/origin story, five-second moment, channel scripts, building-in-public plan, Q&A bank). Use for brand story, founder story, origin story, narrative, pitch story, storytelling, and brand narrative. Category: Marketing.
This skill provides project-specific coding conventions, architectural principles, repository structure standards, testing patterns, and contribution guidelines for the better-chatbot project (https://github.com/cgoinglove/better-chatbot). Use this skill when contributing to or working with better-chatbot to understand the design philosophy and ensure code follows established patterns. Includes: API architecture deep-dive, three-tier tool system (MCP/Workflow/Default), component design patterns, database repository patterns, architectural principles (progressive enhancement, defensive programming, streaming-first), practical templates for adding features (tools, routes, repositories). Use when: working in better-chatbot repository, contributing features/fixes, understanding architectural decisions, following server action validators, implementing tools/workflows, setting up Playwright tests, adding API routes, designing database queries, building UI components, handling multi-AI provider integration Keywords: better-chatbot, chatbot contribution, better-chatbot standards, chatbot development, AI chatbot patterns, API architecture, three-tier tool system, repository pattern, progressive enhancement, defensive programming, streaming-first, compound component pattern, Next.js chatbot, Vercel AI SDK chatbot, MCP tools, workflow builder, server action validators, tool abstraction, DAG workflows, shared business logic, safe() wrapper, tool lifecycle
This skill should be used when configuring Supabase Auth for server-side rendering with Next.js App Router, including secure cookie handling, middleware protection, route guards, authentication utilities, and logout flow. Apply when setting up SSR auth, adding protected routes, implementing middleware authentication, configuring secure sessions, or building login/logout flows with Supabase.
Pull structured data from messy text using AI. Use when parsing invoices, extracting fields from emails, scraping entities from articles, converting unstructured text to JSON, extracting contact info, parsing resumes, reading forms, or any task where messy text goes in and clean structured data comes out. Powered by DSPy extraction.
Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies for AI-powered search visibility in ChatGPT, Perplexity, Google AI Overviews, and other AI search platforms. Use when working with aeo, geo, ai search, chatgpt search, perplexity, ai overviews, generative search, llm visibility.
Orchestrates file cleanup with mandatory processing — reads content and extracts actions BEFORE moving files. Prevents lost waiting-fors and buried actions. MANDATORY during weekly review filing phase. Triggers on 'where should this go', 'help me tidy', 'clean up downloads', 'triage inbox'. (user)
Build event streaming and real-time data pipelines with Kafka, Pulsar, Redpanda, Flink, and Spark. Covers producer/consumer patterns, stream processing, event sourcing, and CDC across TypeScript, Python, Go, and Java. When building real-time systems, microservices communication, or data integration pipelines.
Personality-tuned AI for the Cd (The Questioner) DISC type. Adapts AI tone, structure, and feedback to be evidence-based, independent, and intellectually rigorous. Powered by Crystal's DISC framework.
Kitchen Sink design system workflow for any frontend stack — Next.js, Hugo, Astro, SvelteKit, Nuxt, or plain HTML. Use when asked for a Kitchen Sink page, Design System, UI Audit, Style Guide, or Component Inventory, or when a project needs a component inventory plus component creation and a sink page implementation.
Comprehensive DeepResearch methodology for conducting rigorous, traceable research projects with quality gates, structured analysis, and decision-ready deliverables. Use when (1) Conducting deep research projects requiring evidence-based analysis, (2) Managing research progress with quality gates and artifacts, (3) Producing research reports with traceable sources and structured reasoning, (4) Applying OSINT verification techniques, (5) Using structured analytic techniques (ACH, Key Assumptions Check, Red Team), (6) Expressing uncertainty and confidence in research findings, (7) Ensuring research deliverables meet intelligence tradecraft standards (ICD 203/206/208)